A General Approach for Estimating Scale Score Reliability for Panel Survey Data
A General Approach for Estimating Scale Score Reliability for Panel Survey Data
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DOI：
10.1037/a0016618
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发表时间：
2009-12-01
影响因子：
7
通讯作者：
Wiesen, Christopher A.
中科院分区：
文献类型：
--
作者：
Biemer, Paul P.;Christ, Sharon L.;Wiesen, Christopher A.
量表得分测量在心理学文献中无处不在，可以用作数据分析中的因变量和自变量。量表评分测量的可靠性差导致膨胀的标准误差和/或有偏估计，特别是在多变量分析中。信度估计通常是量表评分数据分析中评估数据质量的一个不可或缺的步骤。克朗巴赫的阿尔法是一个广泛使用的可靠性指标，但由于其相当强的假设，可以是一个穷人的估计（L。J. Cronbach，1951）。对于纵向数据，另一种方法是单纯形法;然而，它也需要在实践中可能不成立的假设。一种有效的方法是可靠性的替代估计量，它放松了克朗巴赫阿尔法和单纯形估计量的假设，从而概括了这两种估计量。使用数据从一个大规模的面板调查，这个估计的统计特性的好处进行了研究，它的使用说明和比较与更传统的估计的可靠性。
Scale score measures are ubiquitous in the psychological literature and can be used as both dependent and independent variables in data analysis. Poor reliability of scale score measures leads to inflated standard errors and/or biased estimates, particularly in multivariate analysis. Reliability estimation is usually an integral step to assess data quality in the analysis of scale score data. Cronbach's alpha is a widely used indicator of reliability but, due to its rather strong assumptions, can be a poor estimator (L. J. Cronbach, 1951). For longitudinal data, an alternative approach is the simplex method; however, it too requires assumptions that may not hold in practice. One effective approach is an alternative estimator of reliability that relaxes the assumptions of both Cronbach's alpha and the simplex estimator and thus generalizes both estimators. Using data from a large-scale panel survey, the benefits of the statistical properties of this estimator are investigated, and its use is illustrated and compared with the more traditional estimators of reliability.